Update app.py

app.py

@@ -18,7 +18,7 @@ transform = transforms.Compose([
 # Function to classify posture images
 def classify_image(image):
     if image is None:
-        return "No image provided! Please capture or upload an image."
+        return "No image provided! Please upload or capture an image."
     
     image = transform(image).unsqueeze(0)
     output = model(image)
@@ -29,8 +29,6 @@ def classify_image(image):
         else "Bad Posture, you should think of sitting a little straighter or more in frame for your real interview."
     )
 
-# Create a compact Gradio layout using Blocks
-with gr.Blocks() as demo:
-    gr.Markdown("### Posture Classifier")
-    
-    img_input = gr.Image
+# Set up Gradio interface
+iface = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs="text")
+iface.launch()